%global _empty_manifest_terminate_build 0 Name: python-amundsenatlastypes Version: 1.2.2 Release: 1 Summary: Custom Amundsen Atlas data types definition License: Apache Software License 2.0 URL: https://github.com/dwarszawski/amundsen-atlas-types Source0: https://mirrors.nju.edu.cn/pypi/web/packages/66/5d/7a6ac87b81c330802220f06f9a9a23ef1d92c96eff9118619d969ff96db9/amundsenatlastypes-1.2.2.tar.gz BuildArch: noarch Requires: python3-pyatlasclient Requires: python3-mypy Requires: python3-flake8 Requires: python3-faker %description # Amundsen Atlas Types [![PyPI version](https://badge.fury.io/py/amundsenatlastypes.svg)](https://badge.fury.io/py/amundsenatlastypes) [![Build Status](https://api.travis-ci.org/dwarszawski/amundsen-atlas-types.svg?branch=master)](https://travis-ci.org/dwarszawski/amundsen-atlas-types) [![License](http://img.shields.io/:license-Apache%202-blue.svg)](LICENSE) Kickstart your Apache Atlas to support Amundsen using the prebuilt functions and required entity definitions. ## Installation: The package is available on PyPi, which you can install using below. ```bash pip install amundsenatlastypes ``` ## Usage: #### Connecting to Apache Atlas: `amundsenatlastypes` uses environment variables to connect to Apache Atlas. Following are the environment variables need to be set in order to connect to Apache Atlas. ```bash - ATLAS_HOST [default = localhost] - ATLAS_PORT [default = 21000] - ATLAS_USERNAME [default = admin] - ATLAS_PASSWORD [default = admin] ``` #### Kickstart Apache Atlas A single python function is available that you can use to apply all required entity definitions. You can run this function as many times as you want, and it will not break any existing functionality, that means that it can also be implemented in your pipelines. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities() ``` There also is a functionality to initiate your existing data to work accordingly with Amundsen. To create required relations you need to set `fix_existing_data=True` while calling the `create_required_entities()`. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities(fix_existing_data=True) ``` #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. ##### Prerequisites ```shell script pip install amundsenatlastypes[samples] ``` ##### Table Sample Data ```python from amundsenatlastypes.schema.table.sample_data import SampleTableData table_loader = SampleTableData() table_loader.create() ``` ##### Dashboard Sample Data ```python from amundsenatlastypes.schema.dashboard.sample_data import SampleDashboardData # Fill below variables with appropriate values table_guid = '' user_guid = '' loader = SampleDashboardData(table_guid, user_guid) loader.create() ``` #### Functionality: `amundsenatlastypes` provides a number of functions that can be used separately to implement/apply entity definitions of Apache Atlas, which are available [here](/amundsenatlastypes/__init__.py). You can also simply access the individual entity definitions in JSON format by importing them from [here](amundsenatlastypes/types.py). #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. %package -n python3-amundsenatlastypes Summary: Custom Amundsen Atlas data types definition Provides: python-amundsenatlastypes BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-amundsenatlastypes # Amundsen Atlas Types [![PyPI version](https://badge.fury.io/py/amundsenatlastypes.svg)](https://badge.fury.io/py/amundsenatlastypes) [![Build Status](https://api.travis-ci.org/dwarszawski/amundsen-atlas-types.svg?branch=master)](https://travis-ci.org/dwarszawski/amundsen-atlas-types) [![License](http://img.shields.io/:license-Apache%202-blue.svg)](LICENSE) Kickstart your Apache Atlas to support Amundsen using the prebuilt functions and required entity definitions. ## Installation: The package is available on PyPi, which you can install using below. ```bash pip install amundsenatlastypes ``` ## Usage: #### Connecting to Apache Atlas: `amundsenatlastypes` uses environment variables to connect to Apache Atlas. Following are the environment variables need to be set in order to connect to Apache Atlas. ```bash - ATLAS_HOST [default = localhost] - ATLAS_PORT [default = 21000] - ATLAS_USERNAME [default = admin] - ATLAS_PASSWORD [default = admin] ``` #### Kickstart Apache Atlas A single python function is available that you can use to apply all required entity definitions. You can run this function as many times as you want, and it will not break any existing functionality, that means that it can also be implemented in your pipelines. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities() ``` There also is a functionality to initiate your existing data to work accordingly with Amundsen. To create required relations you need to set `fix_existing_data=True` while calling the `create_required_entities()`. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities(fix_existing_data=True) ``` #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. ##### Prerequisites ```shell script pip install amundsenatlastypes[samples] ``` ##### Table Sample Data ```python from amundsenatlastypes.schema.table.sample_data import SampleTableData table_loader = SampleTableData() table_loader.create() ``` ##### Dashboard Sample Data ```python from amundsenatlastypes.schema.dashboard.sample_data import SampleDashboardData # Fill below variables with appropriate values table_guid = '' user_guid = '' loader = SampleDashboardData(table_guid, user_guid) loader.create() ``` #### Functionality: `amundsenatlastypes` provides a number of functions that can be used separately to implement/apply entity definitions of Apache Atlas, which are available [here](/amundsenatlastypes/__init__.py). You can also simply access the individual entity definitions in JSON format by importing them from [here](amundsenatlastypes/types.py). #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. %package help Summary: Development documents and examples for amundsenatlastypes Provides: python3-amundsenatlastypes-doc %description help # Amundsen Atlas Types [![PyPI version](https://badge.fury.io/py/amundsenatlastypes.svg)](https://badge.fury.io/py/amundsenatlastypes) [![Build Status](https://api.travis-ci.org/dwarszawski/amundsen-atlas-types.svg?branch=master)](https://travis-ci.org/dwarszawski/amundsen-atlas-types) [![License](http://img.shields.io/:license-Apache%202-blue.svg)](LICENSE) Kickstart your Apache Atlas to support Amundsen using the prebuilt functions and required entity definitions. ## Installation: The package is available on PyPi, which you can install using below. ```bash pip install amundsenatlastypes ``` ## Usage: #### Connecting to Apache Atlas: `amundsenatlastypes` uses environment variables to connect to Apache Atlas. Following are the environment variables need to be set in order to connect to Apache Atlas. ```bash - ATLAS_HOST [default = localhost] - ATLAS_PORT [default = 21000] - ATLAS_USERNAME [default = admin] - ATLAS_PASSWORD [default = admin] ``` #### Kickstart Apache Atlas A single python function is available that you can use to apply all required entity definitions. You can run this function as many times as you want, and it will not break any existing functionality, that means that it can also be implemented in your pipelines. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities() ``` There also is a functionality to initiate your existing data to work accordingly with Amundsen. To create required relations you need to set `fix_existing_data=True` while calling the `create_required_entities()`. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities(fix_existing_data=True) ``` #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. ##### Prerequisites ```shell script pip install amundsenatlastypes[samples] ``` ##### Table Sample Data ```python from amundsenatlastypes.schema.table.sample_data import SampleTableData table_loader = SampleTableData() table_loader.create() ``` ##### Dashboard Sample Data ```python from amundsenatlastypes.schema.dashboard.sample_data import SampleDashboardData # Fill below variables with appropriate values table_guid = '' user_guid = '' loader = SampleDashboardData(table_guid, user_guid) loader.create() ``` #### Functionality: `amundsenatlastypes` provides a number of functions that can be used separately to implement/apply entity definitions of Apache Atlas, which are available [here](/amundsenatlastypes/__init__.py). You can also simply access the individual entity definitions in JSON format by importing them from [here](amundsenatlastypes/types.py). #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. %prep %autosetup -n amundsenatlastypes-1.2.2 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-amundsenatlastypes -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 1.2.2-1 - Package Spec generated